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20182022
most citedEvaluating Mixed-initiative Conversational Search Systems via User Simulation

55 citations · 95 across the 5 of their papers we have counts for

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cs.CL202255 cited

Evaluating Mixed-initiative Conversational Search Systems via User Simulation

Ivan Sekulić, Mohammad Aliannejadi, Fabio Crestani

Clarifying the underlying user information need by asking clarifying questions is an important feature of modern conversational search system. However, evaluation of such systems t…

cs.CL2021

Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering

Xu Wang, Shuai Zhao, Bo Cheng +5

Question Answering (QA) models over Knowledge Bases (KBs) are capable of providing more precise answers by utilizing relation information among entities. Although effective, most o…

cs.CL202028 cited

Reasoning with Latent Structure Refinement for Document-Level Relation Extraction

Guoshun Nan, Zhijiang Guo, Ivan Sekulić +1

Document-level relation extraction requires integrating information within and across multiple sentences of a document and capturing complex interactions between inter-sentence ent…

cs.CL2020

Adapting Deep Learning Methods for Mental Health Prediction on Social Media

Ivan Sekulić, Michael Strube

Mental health poses a significant challenge for an individual's well-being. Text analysis of rich resources, like social media, can contribute to deeper understanding of illnesses…

cs.CL2018

Not Just Depressed: Bipolar Disorder Prediction on Reddit

Ivan Sekulić, Matej Gjurković, Jan Šnajder

Bipolar disorder, an illness characterized by manic and depressive episodes, affects more than 60 million people worldwide. We present a preliminary study on bipolar disorder predi…